Chuanming Li

1.8k total citations · 1 hit paper
43 papers, 1.2k citations indexed

About

Chuanming Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Biomedical Engineering. According to data from OpenAlex, Chuanming Li has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Neurology and 8 papers in Biomedical Engineering. Recurrent topics in Chuanming Li's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Retinal Diseases and Treatments (4 papers) and Glaucoma and retinal disorders (4 papers). Chuanming Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Retinal Diseases and Treatments (4 papers) and Glaucoma and retinal disorders (4 papers). Chuanming Li collaborates with scholars based in China, United States and Iran. Chuanming Li's co-authors include Christine A. Curcio, Nancy E. Medeiros, Xiaojia Wu, Dajing Guo, Fang Zheng, Huizhe Huang, Wenbing Zeng, Linli Chen, Jiong Wu and Goldis Malek and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Scientific Reports.

In The Last Decade

Chuanming Li

37 papers receiving 1.2k citations

Hit Papers

Chest CT Findings in Patients With Coronavirus Disease 20... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chuanming Li China 12 561 474 313 260 170 43 1.2k
Nicholas A. V. Beare United Kingdom 28 489 0.9× 918 1.9× 195 0.6× 165 0.6× 116 0.7× 89 2.3k
Fang Duan China 14 230 0.4× 894 1.9× 282 0.9× 134 0.5× 354 2.1× 55 1.4k
Craig M. Greven United States 21 1.0k 1.9× 1.6k 3.3× 106 0.3× 197 0.8× 187 1.1× 51 2.1k
Seung Woo Kim South Korea 23 145 0.3× 240 0.5× 190 0.6× 193 0.7× 306 1.8× 129 1.3k
Roomasa Channa United States 23 851 1.5× 1.3k 2.7× 90 0.3× 155 0.6× 55 0.3× 94 1.9k
Gaurav K. Shah United States 30 1.7k 2.9× 2.6k 5.4× 109 0.3× 231 0.9× 402 2.4× 138 3.0k
Kaylee B. Worlock United Kingdom 3 70 0.1× 103 0.2× 1.1k 3.5× 284 1.1× 500 2.9× 5 1.8k
Michael Miligkos Greece 18 150 0.3× 123 0.3× 77 0.2× 67 0.3× 99 0.6× 39 954
Bruno Laganà Italy 21 146 0.3× 30 0.1× 272 0.9× 336 1.3× 97 0.6× 65 1.5k

Countries citing papers authored by Chuanming Li

Since Specialization
Citations

This map shows the geographic impact of Chuanming Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chuanming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuanming Li more than expected).

Fields of papers citing papers by Chuanming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuanming Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chuanming Li. The network helps show where Chuanming Li may publish in the future.

Co-authorship network of co-authors of Chuanming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanming Li. A scholar is included among the top collaborators of Chuanming Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chuanming Li. Chuanming Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Fengxi, Li Li, Rong Zeng, et al.. (2025). Automatic diagnosis and measurement of intracranial aneurysms using deep learning in MRA raw images. Frontiers in Neurology. 16. 1544571–1544571. 1 indexed citations
2.
Li, Chuanming, et al.. (2025). Formation of carbonate laminae in shale and their impact on organic matter in Dongying depression. Scientific Reports. 15(1). 22093–22093.
3.
Li, Chang, Chang Li, Yuwei Xia, et al.. (2024). Automatic diagnosis of Parkinson’s disease using artificial intelligence base on routine T1-weighted MRI. Frontiers in Medicine. 10. 1303501–1303501. 9 indexed citations
4.
Liu, Jinxin, Chuanming Li, Yi Guo, et al.. (2024). Predicting Hematoma Expansion and Prognosis in Cerebral Contusions: A Radiomics-Clinical Approach. Journal of Neurotrauma. 41(11-12). 1337–1352. 8 indexed citations
6.
Zheng, Qingqing, Yi Guo, Yuwei Xia, et al.. (2024). Automatic detection of cognitive impairment in patients with white matter hyperintensity and causal analysis of related factors using artificial intelligence of MRI. Computers in Biology and Medicine. 178. 108684–108684. 7 indexed citations
8.
Zeng, Rong, Yayuan Geng, Fei Yu, et al.. (2023). Automatic differentiation of ruptured and unruptured intracranial aneurysms on computed tomography angiography based on deep learning and radiomics. Insights into Imaging. 14(1). 76–76. 13 indexed citations
9.
Li, Chuanming, et al.. (2023). CmHem, a hemolin-like gene identified from Cnaphalocrocis medinalis, involved in metamorphosis and baculovirus infection. PeerJ. 11. e16225–e16225. 2 indexed citations
10.
Liu, Yun, Weidong Fang, Li Peng, et al.. (2023). Prediction of Ki-67 expression in gastrointestinal stromal tumors using radiomics of plain and multiphase contrast-enhanced CT. European Radiology. 33(11). 7609–7617. 11 indexed citations
11.
Wu, Xiaojia, Huan Liu, Dajing Guo, et al.. (2022). Prediction of Cognitive Progression in Individuals with Mild Cognitive Impairment Using Radiomics as an Improvement of the ATN System: A Five-Year Follow-Up Study. Korean Journal of Radiology. 23(1). 89–89. 5 indexed citations
12.
Sun, Jun, Yi Guo, Ping Zeng, et al.. (2022). Radiomics Features on Computed Tomography Combined With Clinical-Radiological Factors Predicting Progressive Hemorrhage of Cerebral Contusion. Frontiers in Neurology. 13. 839784–839784. 16 indexed citations
13.
Yang, Ning, Chuanming Li, Xiao Han, et al.. (2020). Associations of MTA1 expression with CT features, pathology and prognosis of elderly patients with non-small cell lung cancer. Oncology Letters. 20(5). 1–1. 1 indexed citations
14.
Black, Lindsey I, et al.. (2018). Parental Report of Significant Head Injuries in Children Aged 3-17 Years: United States, 2016.. PubMed. 1–8. 13 indexed citations
15.
Li, Chuanming, et al.. (2017). Effects of Bemisia tabaci feeding on nutrients and resistance-related compounds of pepper varieties with different insect resistances.. Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture. 25(10). 1456–1462. 1 indexed citations
16.
Li, Chuanming, et al.. (2017). [Population structure and seasonal dynamics of mosquitoes in different types of residential areas].. PubMed. 29(6). 720–724. 1 indexed citations
17.
Vogt, S. D., Christine A. Curcio, Lan Wang, et al.. (2011). Retinal pigment epithelial expression of complement regulator CD46 is altered early in the course of geographic atrophy. Experimental Eye Research. 93(4). 413–423. 87 indexed citations
18.
Zhao, Bin, et al.. (2010). Effects of castor and abutilon leaf extracts on Bemisia tabaci in tomato plants in greenhouse.. Journal of Yangzhou University. 31(4). 86–89. 1 indexed citations
19.
Malek, Goldis, Chuanming Li, Clyde Guidry, Nancy E. Medeiros, & Christine A. Curcio. (2003). Apolipoprotein B in Cholesterol-Containing Drusen and Basal Deposits of Human Eyes with Age-Related Maculopathy. American Journal Of Pathology. 162(2). 413–425. 223 indexed citations
20.
Li, Chuanming, et al.. (1997). RNA isolation from adult Schistosoma japonicum by single-step method. Europe PMC (PubMed Central). 5(4). 165–167. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026